Harness effectively utilizes its Continuous Delivery (CD) platform to manage software deployments, achieving a high success rate of 94% across numerous deployments, while employing machine learning for anomaly detection to preemptively identify and resolve potential issues before they reach production. The company practices what it preaches by using its own CD-as-a-Service platform, incorporating extensive customer feedback to drive continuous improvement and innovation. Recent deployment data reveals an increased number of failures, which are considered beneficial as they prevent problematic releases from impacting customers. A detailed examination of a specific failure highlights the importance of rigorous testing and verification processes, which include multiple stages and the use of advanced algorithms to detect anomalies in unstructured data. This approach underscores the critical role of quality assurance in ensuring the reliability of new builds and the proactive identification of issues such as the NullPointerExceptions related to a newly introduced Encryption service.